Low resource lip finding and tracking algorithm for embedded devices

Jesús F. Guitarte Pérez; Klaus Lukas; Alejandro F. Frangi

Low resource lip finding and tracking algorithm for embedded devices

Jesús F. Guitarte Pérez, Klaus Lukas, Alejandro F. Frangi

Siemens AG Solutions Process Industries

Research output: Contribution to conference › Paper › peer-review

Abstract

One of the best challenges in Lip Reading is to apply this technology to an embedded device. In the current solutions the high use of resources, especially in reference to visual processing, makes the implementation in a small device very difficult. In this article a new, efficient and straightforward algorithm for detection and tracking of lips is presented. Lip Finding and Tracking is the first step in visual processing for Lip Reading. In our approach the Lip Finding is performed between a small amount of blobs, which should fulfill a geometric restriction. In terms of computational power and memory the proposed algorithm meets the requirements of an embedded device; on average less than 4 MHz1 of CPU is required. This algorithm shows promising results in a realistic environment accomplishing successful lip finding and tracking in 94.2% of more than 4900 image frames.

Original language	English
Pages	2253-2256
Number of pages	4
Publication status	Published - 2003
Event	8th European Conference on Speech Communication and Technology, EUROSPEECH 2003 - Geneva, Switzerland Duration: 1 Sept 2003 → 4 Sept 2003

Conference

Conference	8th European Conference on Speech Communication and Technology, EUROSPEECH 2003
Country/Territory	Switzerland
City	Geneva
Period	1/09/03 → 4/09/03

Cite this

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title = "Low resource lip finding and tracking algorithm for embedded devices",

abstract = "One of the best challenges in Lip Reading is to apply this technology to an embedded device. In the current solutions the high use of resources, especially in reference to visual processing, makes the implementation in a small device very difficult. In this article a new, efficient and straightforward algorithm for detection and tracking of lips is presented. Lip Finding and Tracking is the first step in visual processing for Lip Reading. In our approach the Lip Finding is performed between a small amount of blobs, which should fulfill a geometric restriction. In terms of computational power and memory the proposed algorithm meets the requirements of an embedded device; on average less than 4 MHz1 of CPU is required. This algorithm shows promising results in a realistic environment accomplishing successful lip finding and tracking in 94.2% of more than 4900 image frames.",

author = "{Guitarte P{\'e}rez}, {Jes{\'u}s F.} and Klaus Lukas and Frangi, {Alejandro F.}",

year = "2003",

language = "English",

pages = "2253--2256",

note = "8th European Conference on Speech Communication and Technology, EUROSPEECH 2003 ; Conference date: 01-09-2003 Through 04-09-2003",

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TY - CONF

T1 - Low resource lip finding and tracking algorithm for embedded devices

AU - Guitarte Pérez, Jesús F.

AU - Lukas, Klaus

AU - Frangi, Alejandro F.

PY - 2003

Y1 - 2003

N2 - One of the best challenges in Lip Reading is to apply this technology to an embedded device. In the current solutions the high use of resources, especially in reference to visual processing, makes the implementation in a small device very difficult. In this article a new, efficient and straightforward algorithm for detection and tracking of lips is presented. Lip Finding and Tracking is the first step in visual processing for Lip Reading. In our approach the Lip Finding is performed between a small amount of blobs, which should fulfill a geometric restriction. In terms of computational power and memory the proposed algorithm meets the requirements of an embedded device; on average less than 4 MHz1 of CPU is required. This algorithm shows promising results in a realistic environment accomplishing successful lip finding and tracking in 94.2% of more than 4900 image frames.

AB - One of the best challenges in Lip Reading is to apply this technology to an embedded device. In the current solutions the high use of resources, especially in reference to visual processing, makes the implementation in a small device very difficult. In this article a new, efficient and straightforward algorithm for detection and tracking of lips is presented. Lip Finding and Tracking is the first step in visual processing for Lip Reading. In our approach the Lip Finding is performed between a small amount of blobs, which should fulfill a geometric restriction. In terms of computational power and memory the proposed algorithm meets the requirements of an embedded device; on average less than 4 MHz1 of CPU is required. This algorithm shows promising results in a realistic environment accomplishing successful lip finding and tracking in 94.2% of more than 4900 image frames.

UR - http://www.scopus.com/inward/record.url?scp=84902052167&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84902052167

SP - 2253

EP - 2256

T2 - 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003

Y2 - 1 September 2003 through 4 September 2003

ER -

Low resource lip finding and tracking algorithm for embedded devices

Abstract

Conference

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